On the Correlation Structure of Nearest Neighbor Random Filled Models of Images.

Abstract

This paper discusses the correlation structure of some two-dimensional nearest neighbor random field models of images. The correlation structure of two nonequivalent random field models, the so-called simultaneous model and the conditional Markov model, are analyzed incontinuous as well as discrete space. Analyses of two-dimensional moving average models and autoregressive and moving average models are also included. Based on the structure of the correlation function at lower lags an empirical test is suggested for the inference of image models. Examples from real textures are given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA089413

Entities

People

  • R. Chellappa

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Computer Graphics
  • Computer Science
  • Crystal Lattices
  • Crystal Structure
  • Differential Equations
  • Equations
  • Image Processing
  • Markov Models
  • Markov Processes
  • Partial Differential Equations
  • Plastic Explosives
  • Probabilistic Models
  • Probability
  • Stationary Processes
  • Stochastic Processes
  • Two Dimensional

Readers

  • Computer Vision.
  • Materials Science and Engineering.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Space Objects